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HTA Modelling Science Director

Местоположение Барселона, Каталония, Испания Идентификатор вакансии R-213068 Дата публикации 11/13/2024

Location: Barcelona (on-site)

Introduction to role

The Global Market and Access Pricing team at AstraZeneca is establishing a new Centre of Excellence for HTA Statistics and Modelling Science at our global hub in Barcelona. This initiative aims to meet the needs of our expanding pipeline and the evolving external environment. We have exciting opportunities for experienced, applied HTA methodologists and health economic modellers to join our HTA and Modelling Science (HMS) team at either a Director or Lead Level. Our team covers a diverse range of therapeutic areas including Cardiovascular, Renal & Metabolism, Respiratory & Immunology, and Vaccines & Immune Therapies.

As part of a multi-disciplinary group, including HTA statisticians, payer evidence experts, and market access specialists, you will help shape the payer environment by creating and delivering high-quality health economic models. These models will unlock the potential of our life-changing medicines for patients around the world.

Accountabilities

In this role, you will be responsible for implementing HTA methodology and applying your up-to-date hands-on modelling expertise to deliver high-quality, transparent, and fully validated health economic models that meet the requirements and expectations of HTA agencies. This will support patient access to our innovative medicines. With the growing use of HTA, including the upcoming Joint Clinical Assessment in Europe, you will play an important role in shaping our approach. By being at the forefront of methodology and innovation in the field, you will help position the Centre of Excellence for HTA Statistics and Modelling Science as a collaborative, reputable, and trusted organisation among HTA, policy, and academic stakeholders. Development of our people is of utmost importance to us. As part of our new Centre of Excellence, there will be opportunities to learn and further develop skills, as well as spread your knowledge and increase the overall capabilities in the organisation.

For our Director role, you should have:

  • Leadership and strategy setting on HTA modelling and simulation (including indirect treatment comparisons, utility analyses, survival analysis, treatment switching, and other advanced analytics used for HTA and wider market access) across different indications.
  • Significant experience of hands-on modelling of patient level simulations, dynamic models, application of risk equations, parametric survival techniques, and Bayesian analyses, among others.
  • Act as subject-matter expert to unlock modelling challenges and propose methodologically sound, pragmatic, and agile solutions to the team.
  • Develop global standards, guidelines, best practice, and metrics within the team. Lead quality assurance on the implementation of accepted methods for modelling and full validation of health economic models prior to submissions to HTA bodies or scientific journals.
  • Develop and maintain an external network of experts and participate as an expert in collaborations to drive new and innovative HTA methods.
  • Expert knowledge and ability to develop end-to-end decision-analytic models, such as cost-effectiveness or budget impact models fit for submission to reimbursement agencies.
  • Significant experience modelling in Excel and creation of VBA codes.
  • Expert knowledge of global HTA systems and how to adapt models to their varying requirements.
  • Excellent verbal and written communication skills to present to various audiences and develop technical documents like model protocols or model reports and engage with HTA bodies to address model-related queries.
  • Excellent collaboration and interpersonal skills to be able to integrate in a Global cross-functional matrix to deliver objectives and ensure alignment with relevant internal and external stakeholders.
  • Significant experience interpreting clinical data and collaborating with statisticians to deliver trial analyses required to parameterise health economic models.
  • Strong understanding and experience of the methods and application of indirect treatment comparisons in health economic models.
  • Degree in relevant field such as quantitative social sciences (e.g. economics, health economics, health services research), mathematical sciences (e.g. mathematics, statistics, operations research, engineering) or equivalent quantitative skill demonstration (e.g. through development in the workplace).

Why AstraZeneca?
Here we are committed to making a difference. We have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs. Thrive in a place where the brightest and most curious minds seamlessly come together in our inclusive environment.

At AstraZeneca, we play a critical role in making our pipeline accessible to patients. Being a research-driven enterprise means there's always something new to work on; new indications and securing access for new medicines to reach even more patients in need. Our knowledge of patients, combined with our forward-looking mindset and innovations, helps us spot opportunities, get involved earlier, and approach access sustainably. We thrive on autonomy while collaborating across functions and regions, ensuring that our scientific innovations become a reality by securing the right access.

Join us on this fantastic journey as we reimagine the way Market Access is done. Apply now!



AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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